Voice control of components of a facility

ABSTRACT

Devices, methods, and systems for voice control of components of a facility are described herein. One computing device apparatus includes a memory, and a processor configured to execute executable instructions stored in the memory to receive a voice command or voice query from a user, determine location context information associated with the computing device, and determine which component or components of the facility are associated with the voice command or voice query based, at least in part, on the location context information associated with the computing device.

TECHNICAL FIELD

The present disclosure relates to devices, methods, and systems forvoice control of components of a facility.

BACKGROUND

Components of a facility (e.g., building), such as, for instance,objects, equipment, and/or devices of a heating, ventilation, and airconditioning (HVAC) system of the facility, may need to be commissioned,maintained, tested, and/or inspected. This is typically performed by oneor more users (e.g., technicians and/or workers) in the facility. Forexample, the user(s) may carry a computing device, such as a laptop,smart phone, or tablet, with him throughout the facility (e.g., to wherethe components are located in the facility) for use in performingcommissioning, maintenance, testing, and/or inspection tasks. However,if the facility is a large facility, such as, for instance, a largecommercial building (e.g., airport, mall, office building, etc.),warehouse, or refinery, the commissioning, maintenance, testing, and/orinspection of the components can be time consuming and/or difficult forthe user(s).

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 illustrates an example of a system for controlling components ofa facility in accordance with one or more embodiments of the presentdisclosure.

FIG. 2 illustrates a visual representation of a map of a facility inaccordance with one or more embodiments of the present disclosure.

FIG. 3 illustrates a visual representation of a map of a facility inaccordance with one or more embodiments of the present disclosure.

DETAILED DESCRIPTION

Devices, methods, and systems for voice control of components of afacility are described herein. For example, one or more embodimentsinclude a memory, and a processor configured to execute executableinstructions stored in the memory to receive a voice command or voicequery from a user, determine location context information associatedwith the computing device, and determine which component or componentsof the facility are associated with the voice command or voice querybased, at least in part, on the location context information associatedwith the computing device.

Utilizing voice control of components of a facility (e.g., building),such as, for instance, objects, equipment, and/or devices of a heating,ventilation, and air conditioning (HVAC) system of the facility, inaccordance with one or more embodiments of the present disclosure canmake it quicker and/or easier for a user (e.g., technician and/orworker) to commission, maintain, test, and/or inspect the components ofthe facility, particularly if the facility is a large facility, such as,for instance, a large commercial building (e.g., airport, mall, officebuilding, etc.), warehouse, or refinery. For example, embodiments of thepresent disclosure can effectively (e.g., quickly and accurately)identify the component or components of the facility to which the useris issuing a voice command or query during the commissioning,maintenance, testing, and/or inspection. Further, embodiments of thepresent disclosure can effectively (e.g., quickly and/or accurately)recognize the voice command or query issued by the user.

In the following detailed description, reference is made to theaccompanying drawings that form a part hereof. The drawings show by wayof illustration how one or more embodiments of the disclosure may bepracticed.

These embodiments are described in sufficient detail to enable those ofordinary skill in the art to practice one or more embodiments of thisdisclosure. It is to be understood that other embodiments may beutilized and that mechanical, electrical, and/or process changes may bemade without departing from the scope of the present disclosure.

As will be appreciated, elements shown in the various embodiments hereincan be added, exchanged, combined, and/or eliminated so as to provide anumber of additional embodiments of the present disclosure. Theproportion and the relative scale of the elements provided in thefigures are intended to illustrate the embodiments of the presentdisclosure, and should not be taken in a limiting sense.

The figures herein follow a numbering convention in which the firstdigit or digits correspond to the drawing figure number and theremaining digits identify an element or component in the drawing.Similar elements or components between different figures may beidentified by the use of similar digits. For example, 220 may referenceelement “20” in FIG. 2, and a similar element may be referenced as 320in FIG. 3.

As used herein, “a” or “a number of” something can refer to one or moresuch things. For example, “a number of components” can refer to one ormore components. Additionally, the designator “N” as used herein,particularly with respect to reference numerals in the drawings,indicates that a number of the particular feature so designated can beincluded with a number of embodiments of the present disclosure.

FIG. 1 illustrates an example of a system 100 for controlling components(e.g., components 116-1, 116-2, . . . , 116-N) of a facility inaccordance with one or more embodiments of the present disclosure. Thefacility can be a large facility, such as, for instance, a largecommercial building (e.g., airport, mall, office building, etc.),warehouse, or refinery. However, embodiments of the present disclosureare not limited to a particular type of facility or building.

The components of the facility (e.g., components 116-1, 116-2, . . . ,116-N illustrated in FIG. 1) can include, for example, HVAC componentsof the facility, such as, for instance, thermostats and/or vents of theHVAC system. However, embodiments of the present disclosure are not solimited; components 116-1, 116-2, . . . , 116-N can include any type ofobject, control component, equipment, device, network, sensor, and/oractuator of the HVAC system such as, for instance, valves such as aheating and/or cooling valves, chillers (e.g., chiller plant), boilers(e.g., boiler plant), pumps such as hot water and/or chilled waterpumps, fans, compressors, air dampers such as a variable air volume(VAV) damper, air handling units (AHUs) (e.g., AHU plant), coils such asa heating and/or cooling coil, air filters, and/or cooling towers, amongother components. Further, a “component”, as used herein, can alsoinclude and/or refer to connections between other components, such as achain of equipment (e.g., duct work, pipes, ventilation, and/orelectrical and/or gas distribution equipment) that connects othercomponents of the HVAC system.

As an additional example, components 116-1, 116-2, . . . , 116-N caninclude lighting components of the facility, such as, for instance,light switches. As an additional example, components 116-1, 116-2, . . ., 116-N can include components of a safety and/or security system of thefacility, such as, for instance, cameras and/or smoke alarms.

As shown in FIG. 1, system 100 can include a computing device 102.Computing device 102 can be, for example, a laptop computer, a desktopcomputer, or a mobile device (e.g., smart phone, tablet, PDA, etc.).However, embodiments of the present disclosure are not limited to aparticular type of computing device.

Computing device 102 can be used by a user (e.g., user 114 illustratedin FIG. 1) to control (e.g., commission, maintain, test, and/or inspect)components 116-1, 116-2, . . . , 116-N of the facility, as will befurther described herein. For example, in embodiments in which computingdevice 102 is a laptop or mobile device, user 114 may carry computingdevice 102 with him throughout the facility (e.g., to the location ofcomponents 116-1, 116-2, . . . , 116-N in the facility) for use inperforming control tasks on the components. As an additional example,user 114 can control components 116-1, 116-2, . . . , 116-N usingcomputing device 102 from a location that is remote from the components,such as, for instance, a control room or operating room elsewhere in thefacility or at another location outside the facility. User 114 can be,for instance, a worker, operator, or technician of the HVAC, lighting,safety, and/or security systems of the facility.

As shown in FIG. 1, computing device 102 can include a user interface108. A user (e.g., user 114) of computing device 102 can interact withcomputing device 102 via user interface 108. For example, user interface108 can provide (e.g., display and/or present) information to, and/orreceive information from (e.g., input by), the user of computing device102. For instance, user interface 118 can display information (e.g.,data values, operating parameters, readings, statuses, actions, etc.)associated with components 116-1, 116-2, . . . , 116-N on which controltasks are being performed.

In some embodiments, user interface 108 can be a graphical userinterface (GUI) that can include a display (e.g., a screen) that canprovide and/or receive information to and/or from the user of computingdevice 102. The display can be, for instance, a touch-screen (e.g., theGUI can include touch-screen capabilities). As an additional example,user interface 108 can include a keyboard and/or mouse the user can useto input (e.g., enter) information into computing device 102 (e.g., intouser interface 108). Embodiments of the present disclosure, however, arenot limited to a particular type(s) of user interface.

As shown in FIG. 1, computing device 102 can include a microphone 110.For example, microphone 110 can be embedded (e.g., built into) computingdevice 102, as illustrated in FIG. 1. However, embodiments of thepresent disclosure are not so limited. For example, in some embodiments,microphone 110 can be coupled (e.g., connected) to computing device 102through a wired or wireless connection, such as, for instance, wired orwireless (e.g., Bluetooth and/or Wi-Fi) headphones.

Microphone 110 can receive voice commands and/or voice queries from(e.g., spoken by) user 114. The voice commands and/or voice queriesreceived by microphone 110 can be supplied to automatic speechrecognition (ASR) engine 112, which will be further described herein.

The voice commands and/or voice queries may be associated with (e.g.,directed to) one or more of components 116-1, 116-2, . . . , 116-N. Forexample, a voice query may include a request for information (e.g., datavalues, operating parameters, readings, statuses, actions, etc.) fromone or more of components 116-1, 116-2, . . . , 116-N, and a voicecommand may include an instruction to one or more of components 116-1,116-2, . . . , 116-N to perform a particular task or function. Furtherexamples of voice commands and voice queries will be further describedherein (e.g., in connection with FIGS. 2 and 3).

As shown in FIG. 1, computing device 102 can include a memory 104 and aprocessor 106. Memory 104 can be any type of storage medium that can beaccessed by processor 106 to perform various examples of the presentdisclosure. For example, memory 104 can be a non-transitory computerreadable medium having computer readable instructions (e.g., computerprogram instructions) stored thereon that are executable by processor128 to control components of a facility (e.g., components 116-1, 116-2,. . . , 116-N) in accordance with the present disclosure. That is,processor 128 can execute the executable instructions stored in memory126 to control components of a facility (e.g., components 116-1, 116-2,. . . , 116-N) in accordance with the present disclosure.

Memory 104 can be volatile or nonvolatile memory. Memory 104 can also beremovable (e.g., portable) memory, or non-removable (e.g., internal)memory. For example, memory 104 can be random access memory (RAM) (e.g.,dynamic random access memory (DRAM) and/or phase change random accessmemory (PCRAM)), read-only memory (ROM) (e.g., electrically erasableprogrammable read-only memory (EEPROM) and/or compact-disk read-onlymemory (CD-ROM)), flash memory, a laser disk, a digital versatile disk(DVD) or other optical disk storage, and/or a magnetic medium such asmagnetic cassettes, tapes, or disks, among other types of memory.

Further, although memory 104 is illustrated as being located incomputing device 102, embodiments of the present disclosure are not solimited. For example, memory 104 can also be located internal to anothercomputing resource (e.g., enabling computer readable instructions to bedownloaded over the Internet or another wired or wireless connection).

As shown in FIG. 1, computing device 102 can include an automatic speechrecognition (ASR) engine 112. For example, ASR engine 112 can beembedded (e.g., built into) computing device 102, as illustrated inFIG. 1. However, embodiments of the present disclosure are not solimited. For example, in some embodiments, ASR engine 112 can be coupled(e.g., connected) to computing device 102 through a wired or wirelessconnection. ASR engine 112 can be a device agnostic ASR engine.

ASR engine 112 can receive (e.g., via microphone 110) a voice command orvoice query from (e.g., spoken by) user 114. Upon receiving the voicecommand or voice query, ASR engine can utilize location contextinformation associated with computing device 102 to determine (e.g.,identify) which of components 116-1, 116-2, . . . , 116-N the command orquery is associated with the command or query (e.g., which component(s)the command or query is directed to), and/or to recognize the command orquery.

For example, upon receiving a voice command or voice query from user114, ASR engine 112 can determine location context informationassociated with computing device 102. In some embodiments, (e.g.,embodiments in which computing device 102 is a laptop or mobile deviceand user 114 is carrying computing device 102 with him throughout thefacility), the location context information associated with computingdevice 102 can include, for example, the position of computing device102 in the facility (which can correspond to the position of user 114 inthe facility) and/or the direction in which user 114 is facing. ASRengine 102 can determine the location context information (e.g., theposition of computing device 102 in the facility) using, for example,indoor and/or outdoor positioning technology associated with computingdevice 102, such as GPS, fingerprinting, and/or multilateration, amongothers.

In some embodiments, (e.g., embodiments in which user 114 is usingcomputing device 102 at a location that is remote from components 116-1,116-2, . . . , 116-N), the location context information can include theposition of one or more of the components in the facility and/or theposition of another user in the facility, such as, for instance, theposition of a user who is making a complaint about the HVAC, lighting,safety, and/or security systems of the facility. In such embodiments,ASR engine 102 can receive the location context information (e.g., theposition of the component(s) and/or user in the facility) from user 114via user interface 108. For instance, user 114 may input (e.g., enter)the location context information into user interface 108.

In some embodiments (e.g., embodiments in which computing device 102 isa laptop or mobile device and user 114 is carrying computing device 102with him throughout the facility), the location context informationassociated with computing device 102 can include which component orcomponents of components 116-1, 116-2, . . . , 116-N are located withina particular proximity of (e.g., are closest to) computing device 120.In such embodiments, ASR engine 112 can determine the location contextinformation (e.g., which component(s) are located within the particularproximity of computing device 120) using a map of the facility stored inASR engine 112 that includes the positions of components 116-1, 116-2, .. . , 116-N in the facility, along with the position of computing device102 in the facility. For instance, the map can be dynamically updatedbased on (e.g., to reflect) updates to the position of computing device102 as user 114 moves throughout the facility. The map can be pre-loadedto computing device 102, or can be dynamically downloaded by computingdevice 102 during operation. Examples of such maps will be furtherdescribed herein (e.g., in connection with FIGS. 2 and 3).

ASR engine 112 can then determine (e.g., identify) which component orcomponents of components 116-1, 116-2, . . . , 116-N are associated withthe voice command or voice query from user 114 based, at least in part,on the location context information associated with computing device102. For instance, in the example illustrated in FIG. 1, the locationcontext information may indicate that component 116-1 is closest tocomputing device 102, and ASR engine 112 can determine component 116-1is associated with the voice command or voice query based on thatinformation.

As such, ASR engine 112 can determine which component(s) of the facilityare associated with the voice command or voice query without user 114having to explicitly identify that component(s) in the command or query.This can make it quicker and/or easier for user 114 to performcommissioning, maintenance, testing, and/or inspection tasks in thefacility.

ASR engine 112 can also recognize the voice command or voice query fromuser 114 based, at least in part, on the location context informationassociated with computing device 102. For example, ASR engine 112 cansearch for the voice command or voice query in a command and/or querysearch (e.g., speech knowledge) space in ASR engine 112 based on thelocation context information. For instance, ASR engine 112 may searchonly for commands or queries in the search space that are applicable tothe component or components of components 116-1, 116-2, . . . , 116-Nthat are located within a particular proximity of (e.g., are closest to)computing device 120.

As such, ASR engine 112 can locate the voice command or voice query fromuser 114 in the search space without having to search through allcommands and/or queries in the search space. Accordingly, ASR engine 112can more effectively (e.g., quicker and/or more accurately) recognizethe voice command or voice query issued by the user.

The command and/or query search space can include weighted finite spacetransducers (WFSTs) that can provide posterior probability informationfor senones in the speech signal associated with the voice command orvoice query from the user, and the search for the probable wordhypothesis can be conducting on the WFSTs using search algorithms.Further, the WFSTs can be dynamically updated based on (e.g., to reflectupdates to) the location context information associated with computingdevice 120. For example, the WFSTs can include flexible HMMcontext-lexicon-grammar (HCLG) based lexicon and grammar components thatcan be dynamically updated based on the location context information.For instance, the WFSTs can encode HCLG-based graphs that representspeech knowledge and can be dynamically updated based on whichcomponent(s) are located within the particular proximity of computingdevice 120. Such dynamic updates can further enhance the effectivenessof the ASR engine's recognition of the voice command or query.

Further, in some embodiments, ASR engine 112 can determine whichcomponent or components of components 116-1, 116-2, . . . , 116-N areassociated with the voice command or voice query from user 114 based, atleast in part, on the recognized voice command or voice query. That is,ASR engine 112 can determine which component(s) are associated with thevoice command or voice query based, at least in part, on the command orquery itself. For instance, ASR engine 112 can determine whichcomponent(s) are associated with the voice command and/or query based,at least in part, on the words and/or phrases included in the command orquery.

Upon ASR engine 112 recognizing the voice command or voice queryreceived from user 114, computing device 102 can send (e.g., transmit)the recognized command or query to the component or components ofcomponents 116-1, 116-2, . . . , 116-N determined (e.g., identified) byASR engine 112 to be associated with the command or query For instance,in the example illustrated in FIG. 1 (e.g., in which component 116-1 hasbeen determined to be the component associated with the command orquery), computing device 102 can send the recognized command or query tocomponent 116-1. The identified component(s) (e.g., component 116-1 inthe example illustrated in FIG. 1) can then process and execute thecommand or query upon receiving the command or query.

Computing device 102 can send the recognized voice command or voicequery to component 116-1, for example, via a wired or wireless network(not shown in FIG. 1 for clarity and so as not to obscure embodiments ofthe present disclosure). The network can be, for example, a networkrelationship through which computing device 102 and components 116-1,116-2, . . . , 116-N can communicate. Examples of such a networkrelationship can include a distributed computing environment (e.g., acloud computing environment), a wide area network (WAN) such as theInternet, a local area network (LAN), a personal area network (PAN), acampus area network (CAN), or metropolitan area network (MAN), amongother types of network relationships. For instance, the network caninclude a number of servers that receive the recognized voice command orvoice query via a wired or wireless network, and transmit the receivedcommand or query to component 116-1 via a wired or wireless network.

As used herein, a “network” can provide a communication system thatdirectly or indirectly links two or more computers and/or peripheraldevices and allows users to access resources on other computing devicesand exchange messages with other users. A network can allow users toshare resources on their own systems with other network users and toaccess information on centrally located systems or on systems that arelocated at remote locations. For example, a network can tie a number ofcomputing devices together to form a distributed control network (e.g.,cloud).

A network may provide connections to the Internet and/or to the networksof other entities (e.g., organizations, institutions, etc.). Users mayinteract with network-enabled software applications to make a networkrequest, such as to get a file or print on a network printer.Applications may also communicate with network management software,which can interact with network hardware to transmit information betweendevices on the network.

FIG. 2 illustrates a visual representation of a map 220 of a facility inaccordance with one or more embodiments of the present disclosure. Inthe example illustrated in FIG. 2, map 220 is a map of a floor of thefacility. Map 220 can be stored in ASR engine 112 previously describedin connection with FIG. 1.

As shown in FIG. 2, map 220 includes (e.g., illustrates) the positionsof various components in the floor of the facility, such as HVAC vents224-1, 224-2, 224-3, 224-4, 224-5, 224-6, 224-7, 224-8, 224-9, 224-10,224-11, and 224-12 (which may be collectively referred to as HVAC vents224), smoke alarms 226-1, 226-2, 226-3, 226-4, 226-5, 226-7, and 226-8(which may be collectively referred to as smoke alarms 226), thermostats228-1, 228-2, 228-3, 228-4, 228-5, 228-6, 228-7, 228-8, and 228-9 (whichmay be collectively referred to as thermostats 228), and cameras 230-1and 230-2 (which may be collectively referred to as cameras 230). Forinstance, HVAC vent 224-1, smoke alarm 226-1, and thermostat 228-2 arelocated in space 232-1 of the floor of the facility, HVAC vents 224-4and 224-5, smoke alarm 226-2, and thermostat 228-3 are located in space232-2 of the floor of the facility, and the other HVAC vents 224, smokealarms 226, thermostats 228, and cameras 230 are located in the otherrespective spaces 232-3, 232-4, 232-5, 232-6, 232-7, 232-8, and 232-9 ofthe floor of the facility, as illustrated in FIG. 2.

As shown in FIG. 2, map 220 also includes (e.g., illustrates) thepositions (e.g., current positions) of users 222-1 and 222-2 in thefloor of the facility. For instance, user 222-1 is located on the rightside of space 232-9, and user 222-2 is located in space 232-4, asillustrated in FIG. 2.

Users 222-1 and 222-2 may each be carrying a computing device analogousto computing device 102 previously described in connection with FIG. 1.For instance, the computing device being carried by each respective user222-1 and 222-2 may include an ASR engine analogous to ASR engine 112previously described in connection with FIG. 1. As such, the computingdevice being carried by each respective user 222-1 and 222-2 candetermine location context information associated therewith, such as,for instance, its position in the floor of the facility, as previouslydescribed in connection with FIG. 1. The position of the computingdevice being carried by user 222-1 can correspond to the position ofuser 222-1 in the facility, and the position of the computing devicebeing carried by user 222-2 can correspond to the position of user 222-2in the facility, and these positions can be included in map 220, asillustrated in FIG. 2. Further, as users 222-1 and 222-2 move throughoutthe floor of the facility, their respective positions in map 220 can bedynamically updated to reflect their respective movements, as previouslydescribed in connection with FIG. 1.

In the example illustrated in FIG. 2, users 222-1 and 222-2 may be HVACtechnicians who have been called to the facility in response tocomplaints about the temperature in the facility. While at theirrespective locations illustrated in FIG. 2, users 222-1 and 222-2 mayissue a voice query to get the temperature in their respectivevicinities. Based on the location context information provided by map220, the computing device being carried by user 222-1 can determine thatthermostat 228-7 is the closest thermostat to user 222-1 in thefacility, and therefore can determine that the query issued (e.g.,spoken) by user 222-1 is associated with (e.g., directed to) thermostat228-7 (e.g., without user 222-1 having to specifically identifythermostat 228-7 in the query). Similarly, the computing device beingcarried by user 222-2 can determine that thermostat 228-4 is the closestthermostat to user 222-2 in the facility, and therefore can determinethat the query issued by user 222-2 is associated with thermostat 228-4,based on the location context information provided by map 220 (e.g.,without user 222-2 having to specifically identify thermostat 228-4 inthe query).

Accordingly, the computing device being carried by user 222-1 can sendthe temperature query to thermostat 228-7, and the computing devicebeing carried by user 222-2 can send the temperature query to thermostat228-4. Thermostats 228-7 and 228-4 can reply to the respective queriesby sending the respective computing devices their respective temperaturereadings, which can be provided (e.g., displayed) to users 222-1 and222-2 (e.g., the temperature reading of thermostat 228-7 is provided touser 222-1, and the temperature reading of thermostat 228-4 is providedto user 222-2).

Continuing in the example, users 222-1 and 222-2 may also issue a voicequery to get the status of the HVAC vents at their respective locationsillustrated in FIG. 2. Based on the location context informationprovided by map 220, the computing device being carried by user 222-1can determine that HVAC vents 224-3 and 224-11 are the closest vents touser 222-1 in the facility, and therefore can determine that the queryissued (e.g., spoken) by user 222-1 is associated with (e.g., directedto) vents 224-3 and 224-11 (e.g., without user 222-1 having tospecifically identify vents 224-3 and 224-11). Similarly, the computingdevice being carried by user 222-2 can determine that HVAC vent 224-6 isthe closest vent to user 222-2 in the facility, and therefore candetermine that the query issued by user 222-2 is associated with vent224-6, based on the location context information provided by map 220(e.g., without user 222-2 having to specifically identify vent 224-6).

Accordingly, the computing device being carried by user 222-1 can sendthe vent status query to HVAC vents 224-3 and 224-11, and the computingdevice being carried by user 222-2 can send the vent status query toHVAC vent 224-6. Vents 224-3, 224-11, and 224-6 can reply to therespective queries by sending the respective computing devices theirrespective statuses, which can be provided (e.g., displayed) to users222-1 and 222-2 (e.g., the statuses of vents 224-3 and 224-11 areprovided to user 222-1, and the status of vent 224-6 is provided to user222-2).

If users 222-1 and 222-2 determine that the complaints about thetemperature are due to the status of the vents, such as, for instance, ahigh airflow through the vents, users 222-1 and 222-2 can issue a voicecommand to regulate all vents to reduce airflow in their respectivevicinities. Based on the location information context provided by map220, the computing device being carried by user 222-1 can determine thatthe command from user 222-1 is associated with vents 224-3 and 224-11,and accordingly can send the command to vents 224-3 and 224-11.Similarly, the computing device being carried by user 222-2 candetermine that the command from user 222-1 is associated with vent224-6, and accordingly can send the command to vent 224-6. Uponreceiving the respective commands, vents 224-3, 224-11, and 224-6 canreduce their airflow.

Further, the location context information provided by map 220 mayindicate that while there are several components (e.g., HVAC vents 224-3and 224-11, smoke alarms 226-6 and 226-7, thermostat 228-7, and cameras230-1 and 230-2) in the vicinity of user 222-1, the only components inthe vicinity of user 222-1 are HVAC vent 224-6 and thermostat 228-4. Assuch, the computing device being carried by user 222-2 can recognize thevoice queries and voice command issued by user 222-2 by only searchingthe search space (e.g., WFSTs) of its ASR engine for queries andcommands applicable to HVAC vents and thermostats, while the computingdevice being carried by user 222-1 may need to search its search spacefor queries and commands applicable to smoke alarms and cameras, as wellas HVAC vents and thermostats, to recognize the voice queries andcommand issued by user 222-1.

FIG. 3 illustrates a visual representation of a map 320 of a facility inaccordance with one or more embodiments of the present disclosure. Map220 can be analogous to map 220 previously described in connection withFIG. 2. For example, map 320 includes the positions of HVAC vents 324,smoke alarms 326, thermostats 328, and cameras 330 in spaces 332 of afloor of the facility, in a manner analogous to that previouslydescribed in connection with FIG. 2.

As shown in FIG. 3, map 320 also includes (e.g., illustrates) theposition (e.g., current positions) of user 322 in the floor of thefacility. For instance, user 322 is located in space 332-2, asillustrated in FIG. 3. User 322 may be carrying a computing deviceanalogous to computing device 102 previously described in connectionwith FIG. 1. For instance, the computing device being carried by user322 may include an ASR engine analogous to ASR engine 112 previouslydescribed in connection with FIG. 1. As such, the computing device beingcarried by user 322 can determine location context informationassociated therewith, such as, for instance, its position in the floorof the facility, as previously described in connection with FIG. 1. Theposition of the computing device being carried by user 322 cancorrespond to the position of user 322 in the facility, as illustratedin FIG. 3. Further, as user 322 moves throughout the floor of thefacility, his/her position in map 320 can be dynamically updated toreflect his/her movements, as previously described in connection withFIG. 1.

While at his/her location illustrated in FIG. 3, user 322 may issue avoice command to “turn on the light”. Based on the location contextinformation provided by map 320, the computing device being carried byuser 322 can determine that user 322 is located in space 332-2 in thefacility, and therefore can determine that the command is associatedwith the lighting components of space 332-2 (e.g., without user 322having to specifically identify space 332-2 in the command).Accordingly, the computing device can send the command to the lightingcomponents of space 332-2, and the lighting components of space 332-2can turn on upon receiving the command.

Although specific embodiments have been illustrated and describedherein, those of ordinary skill in the art will appreciate that anyarrangement calculated to achieve the same techniques can be substitutedfor the specific embodiments shown. This disclosure is intended to coverany and all adaptations or variations of various embodiments of thedisclosure.

It is to be understood that the above description has been made in anillustrative fashion, and not a restrictive one. Combination of theabove embodiments, and other embodiments not specifically describedherein will be apparent to those of skill in the art upon reviewing theabove description.

The scope of the various embodiments of the disclosure includes anyother applications in which the above structures and methods are used.Therefore, the scope of various embodiments of the disclosure should bedetermined with reference to the appended claims, along with the fullrange of equivalents to which such claims are entitled.

In the foregoing Detailed Description, various features are groupedtogether in example embodiments illustrated in the figures for thepurpose of streamlining the disclosure. This method of disclosure is notto be interpreted as reflecting an intention that the embodiments of thedisclosure require more features than are expressly recited in eachclaim.

Rather, as the following claims reflect, inventive subject matter liesin less than all features of a single disclosed embodiment. Thus, thefollowing claims are hereby incorporated into the Detailed Description,with each claim standing on its own as a separate embodiment.

What is claimed:
 1. A computing device for controlling components of afacility, comprising: a memory; and a processor configured to executeexecutable instructions stored in the memory to: receive a voice commandor voice query from a user; determine location context informationassociated with the computing device; and determine which component orcomponents of the facility are associated with the voice command orvoice query based, at least in part, on the location context informationassociated with the computing device.
 2. The computing device of claim1, wherein the processor is configured to execute the executableinstructions to recognize the voice command or voice query based, atleast in part, on the location context information associated with thecomputing device.
 3. The computing device of claim 1, wherein thelocation context information associated with the computing deviceincludes a position of the computing device in the facility.
 4. Thecomputing device of claim 1, wherein the processor is configured toexecute the executable instructions to determine the location contextinformation associated with the computing device using positioningtechnology associated with the computing device.
 5. The computing deviceof claim 1, wherein the location context information associated with thecomputing device includes a direction in which the user is facing. 6.The computing device of claim 1, wherein the computing device is amobile device.
 7. A method for controlling components of a facility,comprising: receiving, by a computing device, a voice command or voicequery from a user; determining, by the computing device, locationcontext information associated with the computing device upon receivingthe voice command or voice query; and recognizing, by the computingdevice, the voice command or voice query based, at least in part, on thelocation context information associated with the computing device. 8.The method of claim 7, wherein the location context informationassociated with the computing device includes which component orcomponents of the facility located within a particular proximity of thecomputing device.
 9. The method of claim 7, wherein the method includesdetermining the location context information associated with thecomputing device using a map of the facility stored in the computingdevice.
 10. The method of claim 9, wherein the map of the facilityincludes a position of the computing device in the facility.
 11. Themethod of claim 7, wherein recognizing the voice command or voice querybased, at least in part, on the location context information associatedwith the computing device includes searching for the voice command orvoice query in a command or query search space based on the locationcontext information associated with the computing device.
 12. The methodof claim 11, wherein searching for the voice command or voice query inthe command or query search space includes searching only for commandsor queries in the search space that are applicable to components of thefacility located within a particular proximity of the computing device.13. The method of claim 11, wherein the search space includes weightedfinite space transducers that are updated based on the location contextinformation associated with the computing device.
 14. The method ofclaim 11, wherein the search space includes lexicon and grammarcomponents that are updated based on the location context informationassociated with the computing device.
 15. The method of claim 11,wherein the method includes: receiving the voice command or voice queryusing a microphone of the computing device; determining the locationcontext information associated with the computing device using anautomatic speech recognition engine of the computing device; andrecognizing the voice command or voice query using the automatic speechrecognition engine of the computing device.
 16. A non-transitorycomputer readable medium having computer readable instructions storedthereon that are executable by a processor to: receive a voice commandor voice query from a user of a computing device; determine locationcontext information associated with the computing device; recognize thevoice command or voice query based, at least in part, on the locationcontext information associated with the computing device; and determinewhich component or components of a facility are associated with therecognized voice command or voice query based, at least in part, on thelocation context information associated with the computing device. 17.The computer readable medium of claim 16, wherein the instructions areexecutable by the processor to send the recognized voice command orvoice query to the component or components of the facility determined tobe associated with the recognized voice command or voice query.
 18. Thecomputer readable medium of claim 16, wherein the instructions areexecutable by the processor to determine which component or componentsof the facility are associated with the recognized voice command orvoice query based, at least in part, on the recognized voice command orvoice query.
 19. The computer readable medium of claim 16, wherein theinstructions are executable by the processor to determine whichcomponent or components of the facility are associated with therecognized voice command or voice query without the user identifying thecomponent or components in the voice command or voice query.
 20. Thecomputer readable medium of claim 16, wherein the component orcomponents of the facility include a heating, ventilation, and airconditioning (HVAC) component of the facility and/or a lightingcomponent of the facility.